Results 31 to 40 of about 561,925 (299)
Quantum true random number generation on IBM’s cloud platform
Journal of King Saud University: Computer and Information Sciences, 2022 Random numbers are the lifeline of any cryptographic operation in modern computing. Quantum True Random Number Generator (QTRNG) can yield real random data to replace random-looking periodic sequences.
Vaishnavi Kumar +3 more
doaj +1 more source
Random Generators and Normal Numbers [PDF]
Experimental Mathematics, 2002 Pursuant to the authors' previous chaotic-dynamical model for random digits of fundamental constants [Bailey and Crandall 01], we investigate a complementary, statistical picture in which pseudorandom number generators (PRNGs) are central. Some rigorous results are achieved: We establish b-normality for constants of the form Σ 1/(b mi c ni) for certain
Bailey, David H., Crandall, Richard E.
openaire +2 more sources
A horadam-based pseudo-random number generator [PDF]
, 2014 Uniformly distributed pseudo-random number generators are commonly used in certain numerical algorithms and simulations. In this article a random number generation algorithm based on the geometric properties of complex Horadam sequences was investigated.
Chen, M., Bagdasar, O.D., Bagdasar, O.
core +1 more source
PSEUDO RANDOM NUMBER GENERATION USING EYE BRIGHTNESS RESPONSE
ICTACT Journal on Communication Technology, 2018 Random numbers play an important and primary role in the use of Cryptography techniques in real time applications. The cryptographic techniques can be easily compromised if the key can be easily guessed.
T Sivakumar, T Anusha
doaj +1 more source
A transformation sequencing approach to pseudorandom number generation [PDF]
, 2007 This paper presents a new approach to designing pseudorandom number generators based on cellular automata. Current cellular automata designs either focus on i) ensuring desirable sequence properties such as maximum length period, balanced distribution ...
Guan, SU, Tan, SK
core +1 more source
Quantum Random Number Generation on a Mobile Phone
Physical Review X, 2014 Quantum random number generators (QRNGs) can significantly improve the security of cryptographic protocols by ensuring that generated keys cannot be predicted.
Bruno Sanguinetti +3 more
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An optical chip for self-testing quantum random number generation
APL Photonics, 2020 We present an implementation of a semi-device-independent protocol of the generation of quantum random numbers in a fully integrated silicon chip. The system is based on a prepare-and-measure scheme, where we integrate a partially trusted source of ...
Nicolò Leone +9 more
doaj +1 more source
Incremental evolution of cellular automata for random number generation
, 2003 Cellular automata (CA) have been used in pseudorandom number generation for over a decade. Recent studies show that controllable CA (CCA) can generate better random sequences than conventional one-dimensional (1-d) CA and compete with two-dimensional (2 ...
Zhang, S. +3 more
core +1 more source
IEEE Access, 2018 The key point of cryptography is cryptographic algorithms and keys. The random number generator is used to generate seeds and keys randomly in many cryptographic systems.
Kyungroul Lee +3 more
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Pseudo-random number generation with -encoders
International Journal of Mathematics for IndustryThe [Formula: see text]-encoder is an analog circuit that converts an input signal [Formula: see text] into a finite bit stream [Formula: see text]. The bits [Formula: see text] are correlated and therefore are not immediately suitable for random number ...
Charlene Kalle +2 more
doaj +1 more source